Workflow

TL;DR I point Claude at a problem, give it a direction, and let it run — and most of the time I don’t read the merge request it opens. On an internal homelab where the blast radius is my own cluster, backups are real, and everything’s reproducible from code, line-by-line diff review is the wrong altitude. Instead I supervise after the fact by reading the artifacts the agents leave behind: the /docs/ folder, a Wiki.js wiki full of Mermaid diagrams, auto-generated architecture SVGs, and this blog. Reading those — not the diffs — is what’s actually caught problems: dead systems still wired in, duplicate config, a deploy that quietly deleted itself. ...

TL;DR I run 3-5 Claude Code sessions in parallel at staggered cadences. They coordinate through a shared #mat-claude-sessions Mattermost channel plus a small coordination board file. Each session announces what it’s about to touch, claims it, and announces when it’s done. Conflicts are rare; throughput is dramatically higher than running one session at a time and waiting. Why parallel A single Claude Code session running a long task — refactor across a few repos, work through a debugging session, draft a blog post — is mostly me waiting. The model is fast but tasks are bounded by my decisions, my reviews, and my edits. If I’m waiting on Session A to finish a build, Session B can be drafting something unrelated. Session C can be running a slow eval. The bottleneck stops being the model and becomes my own attention rotation. ...

TL;DR A 109-day project plan. One day of actual work. Eight hours of active pipeline time. The key was treating planning and implementation as two separate AI-driven phases: spend an evening getting the plan right by routing it through multiple models, then let Claude Sonnet 4.6 implement it autonomously overnight via GitHub Copilot’s cloud agent while you sleep. This is the full playbook — planning phase included. The Project This came out of building dnd-multi, a full-stack AI Dungeon Master platform: FastAPI backend, Next.js 15 frontend, a Discord bot, LiveKit voice, and AWS Bedrock integration. Seven feature phases, a plan projected to take until June 19. ...